Abstract: Due to the nature of mathematical function’s algorithms,there are a great deal of access operations remaining in reality．In the heterogeneous many-core architectures,which is becoming ubiquitous recently,the slave processors are equipped with shared memory to access data,thereby impacting the accessing rate heavily．Therefore,the performance of the mathematical library’s functions is not able to meet requirements of high performance computing．To efficiently solve this problem,this study proposesd a novel accessing instructions based scheduling strategy to cover the access delay with the necessary computation．With the help of the dynamic calling mode,an algorithm called ldm_call was introduced based on the LDM (local data memory) of the slave processors,which can speed up the accessing rate significantly．These two optimizing technologies both possess general applicability in the shared memory．At the same time,they can efficiently reduce the accessing frequency and speed up the accessing rate．The experimental results show that they can improve the functions’ performance 16.08% and 37.32% on average respectively.

Key words: Heterogeneous many-core,Mathematical library,Access optimization,Instruction-scheduling,Local data memory